| Title |
Overcoming Smart City Barriers Using Multi-Modal Interpretive Structural Modeling |
| ID_Doc |
37665 |
| Authors |
Nagpal, R; Mehrotra, D; Sehgal, R; Srivastava, G; Lin, JCW |
| Title |
Overcoming Smart City Barriers Using Multi-Modal Interpretive Structural Modeling |
| Year |
2023 |
| Published |
Journal Of Signal Processing Systems For Signal Image And Video Technology, 95.0, 2-3 |
| DOI |
10.1007/s11265-022-01751-w |
| Abstract |
Massive urbanization and resource scarcity are global phenomena for which researchers around the world see urban transformation into a smart city as the most viable solution. Yet urban planners face many hurdles in transforming cities. These include economic factors such as the high cost of infrastructure development and maintenance, social paradigms, governance, and environmental issues that limit government ambitions. To design an optimal strategy for creating a smart city, the various barriers must be identified and prioritized. The various barriers to the successful implementation of the smart city mission were identified using an extensive literature review and expert opinions. To understand the complex interdependencies among these barriers, the interpretive structural modeling method (ISM) was used. MICMAC analyzed the ISM model to classify the barriers. Indian cities vary greatly in terms of infrastructure, size, population, and available facilities. Therefore, the impact of the barriers and their interdependencies also vary. The author has extended the study and used the fuzzy approach MICMAC to improve the model by incorporating the variations observed when the city category changes. This study will help urban developers and planners to identify the relationship between barriers and design strategic planning to make the city smarter. |
| Author Keywords |
Fuzzy; Cognitive; Smart cities; ISM; MICMAC; Internet of things; Complexity analysis |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000771836400001 |
| WoS Category |
Computer Science, Information Systems; Engineering, Electrical & Electronic |
| Research Area |
Computer Science; Engineering |
| PDF |
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